Skip to main content

LangWatch Python SDK, for monitoring your LLMs

Project description

LangWatch Python SDK ๐Ÿ

A Python SDK to monitor and observe your LLM applications using LangWatch.

[!CAUTION] This SDK is currently being developed and is not yet ready for production use. Please use the legacy SDK until this notice is removed.

Migration progress

Legend

  • โœ…: Complete
  • ๐Ÿšง: Migration in progress
  • โŒ: Pending migration
  • โšฐ: Deprecated
  • ๐Ÿ—‘๏ธ: Removed

Migration progress

Feature Status Tested Description
endpoint โœ… ๐Ÿ”„
api_key โœ… ๐Ÿ”„
enabled ๐Ÿ—‘๏ธ ๐Ÿ”„
sampling_rate โœ… ๐Ÿ”„
logger โœ… ๐Ÿ”„
trace โœ… ๐Ÿ”„
span โœ… ๐Ÿ”„
get_current_trace โœ… ๐Ÿ”„
get_current_span โœ… ๐Ÿ”„
create_span ๐Ÿ—‘๏ธ ๐Ÿ”„ This was marked for deprecation, and has been deprecated.
capture_rag ๐Ÿ—‘๏ธ ๐Ÿ”„ This was marked for deprecation, and has been deprecated.
langchain โœ… ๐Ÿ”„
dspy โœ… ๐Ÿ”„
login โŒ ๐Ÿ”„
evaluations โœ… ๐Ÿ”„
guardrails โœ… ๐Ÿ”„
openai โœ… ๐Ÿ”„
litellm โœ… ๐Ÿ”„
ContextSpan โœ… ๐Ÿ”„
ContextSpan.update โœ… ๐Ÿ”„
ContextSpan.add_evaluation โœ… ๐Ÿ”„
ContextSpan.evaluate โœ… ๐Ÿ”„
ContextSpan.async_evaluate โœ… ๐Ÿ”„
ContextSpan.end โœ… ๐Ÿ”„
ContextTrace โœ… ๐Ÿ”„
ContextTrace.update โœ… ๐Ÿ”„
ContextTrace.add_evaluation โœ… ๐Ÿ”„
ContextTrace.evaluate โœ… ๐Ÿ”„
ContextTrace.async_evaluate โœ… ๐Ÿ”„
ContextTrace.deferred_send_spans ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.send_spans ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.append_span ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.get_parent_id ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.get_current_span โœ… ๐Ÿ”„
ContextTrace.set_current_span ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.reset_current_span ๐Ÿ—‘๏ธ ๐Ÿ”„
ContextTrace.get_langchain_callback โœ… ๐Ÿ”„
ContextTrace.autotrack_openai_calls โœ… ๐Ÿ”„
ContextTrace.autotrack_litellm_calls โœ… ๐Ÿ”„
ContextTrace.autotrack_dspy โœ… ๐Ÿ”„
ContextTrace.share โœ… ๐Ÿ”„
ContextTrace.unshare โœ… ๐Ÿ”„

Installation

pip install langwatch==0.3.0rc1

Usage

Set the following environment variables:

  • LANGWATCH_API_KEY: Your LangWatch API key.
  • LANGWATCH_ENDPOINT: Your LangWatch endpoint, this is only required if you are using a self-hosted LangWatch instance.
import langwatch
import os
from openai import OpenAI

@langwatch.trace()
def main():
    client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
    langwatch.get_current_trace().autotrack_openai_calls(client)

    # Any calls to OpenAI will now be tracked by LangWatch

Contributing

We welcome contributions to LangWatch! Here's how you can help:

  1. Fork the repository
  2. Create a new branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Run the tests (pytest)
  5. Commit your changes (git commit -m 'Add amazing feature')
  6. Push to the branch (git push origin feature/amazing-feature)
  7. Open a Pull Request

Please make sure to update tests as appropriate and follow our coding standards.

Support

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langwatch-0.2.0rc2.tar.gz (990.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

langwatch-0.2.0rc2-py3-none-any.whl (54.3 kB view details)

Uploaded Python 3

File details

Details for the file langwatch-0.2.0rc2.tar.gz.

File metadata

  • Download URL: langwatch-0.2.0rc2.tar.gz
  • Upload date:
  • Size: 990.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for langwatch-0.2.0rc2.tar.gz
Algorithm Hash digest
SHA256 4b08a25ee1cfbe5e4b576052dab6c89fb3eee1202880a614d139ad879e3d67c8
MD5 33573904c66222c5c74998d2d1cddcdd
BLAKE2b-256 fdabbfca4ec62b1cb7c1dd4bc89d182fd719f632c886bbaf226efda1f988f97f

See more details on using hashes here.

File details

Details for the file langwatch-0.2.0rc2-py3-none-any.whl.

File metadata

  • Download URL: langwatch-0.2.0rc2-py3-none-any.whl
  • Upload date:
  • Size: 54.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for langwatch-0.2.0rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 34b58c02ba93d555c70cd82dc624b33204d484bb5ed65447c8ee98904201dc5f
MD5 1482261a62f9d5efe54c811581c5b6a4
BLAKE2b-256 52388a78eaabf82a3d22f5453c7391144634c6e2dfc979657a25276d60f0f0ef

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page